Student (f/m/x) for the development of a reinforcement learning environment

German Aerospace Center (DLR); Sankt Augustin; Vor Ort; EUR 8.928 - 16.740; Teilzeit

Zusammenfassung

German Aerospace Center (DLR) is seeking a student to support the AI Security Institute in developing safe AI systems. You will work on a reinforcement learning environment built on Unreal Engine, using Gymnasium, and focus on performance optimization and environment expansion.

You should be enrolled in computer science or a related program, with strong C++ skills and an interest in ML and robotics. English is required; German knowledge is a plus.

Qualifikationen

• Pursuing a degree in computer science or a related technical discipline.
• Proficient in C++ programming.
• Interest in machine learning and robotic systems.

Aufgaben

• Develop a reinforcement learning environment based on Unreal Engine and Gymnasium.
• Optimize the RL environment for feasible training times.
• Expand the RL environment by adding elements to increase realism.

Kenntnisse

C++ programming

Machine learning interest

Robotic systems understanding

English written and spoken

German knowledge

Ausbildung

Student enrolled in computer science or related degree program

Tools

Unreal Engine

Gymnasium API

Jobbeschreibung

At the DLR Institute for AI Security, we research and develop AI-related methods, processes, algorithms, technologies and execution and system environments. Our focus is on secure and standard-compliant AI, cybersecurity in open data and service ecosystems and AI, as well as automation in mobility and logistics.

What You Expect

The AI Engineering department defines and establishes and goal-orientated development processes, methods, and tools for safe and secure AI-based applications. The focus lies on the development and application of safety and security-by-design methods for AI-based components, as well as on the investigation of safe human-AI interaction.

Your tasks

• Development of a reinforcement learning (RL) environment: Based on the Unreal Engine and the Gymnasium API
• Optimisation of the RL environment: Improving performance to enable RL to be carried out within a reasonable timeframe
• Expansion of the RL environment: Gradually adding further elements to increase the realism of the environment

Your profile

• A student enrolled on a degree programme in computer science or a related technical discipline
• Good knowledge of C++ programming
• An interest in machine learning and robotic systems
• High motivation and a willingness to familiarise yourself with new technologies and tools
• Written and spoken English; knowledge of German

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 5951) please contact:

Dr. Sven Hallerbach

Tel.: [phone]